#ai algorithms

[rootsinthefuture]

In the web of technology, humanity is lost, trapped between threads of code and shimmering lights. We are fascinated spectators, but prisoners of innovation without mastery. In the cybernetic labyrinth, the secret is to dance between progress and understanding, to transform digital incantations into a rebellious symphony of autonomy, hoping not to lose ourselves.

Rootsinthefuture

[nothingxxtoxxsay]

"Eye in the sky"

[diversebeauties]

Kinda sucks that tumblr is censoring all your posts, like there is literally no need to do so. I hope tumblr fixes this issue soon

Whatever AI algorithm they're using lately is really bad. Terribly inaccurate. I think I do a pretty good job of curating a relatively safe feed on my own, I don't need it.

[cr-ok]

If you’re ever struggling to think of comments that won’t shadow ban “political” content, just ask something open-ended while being “playfully controversial”. Examples below:

“What color notebooks do you all use for sience? I use orange”

“What do you all drink on a hot day? I drink a lot of hot chocolate”

“What temperature makes socks and sandals justifiable?”

“Do you all set your toilet paper towards you or the wall? I sit mine on top of the holder.”

[thepastisalreadywritten]

Scholars of antiquity believe they are on the brink of a new era of understanding after researchers armed with artificial intelligence read the hidden text of a charred scroll that was buried when Mount Vesuvius erupted nearly 2,000 years ago.

Hundreds of papyrus scrolls held in the library of a luxury Roman villa in Herculaneum were burned to a crisp when the town was devastated by the intense blast of heat, ash and pumice that destroyed nearby Pompeii in AD79.

Excavations in the 18th century recovered more than 1,000 whole or partial scrolls from the mansion, thought to be owned by Julius Caesar’s father-in-law.

However, the black ink was unreadable on the carbonised papyri and the scrolls crumbled to pieces when researchers tried to open them.

The breakthrough in reading the ancient material came from the $1m Vesuvius Challenge, a contest launched in 2023 by Brent Seales, a computer scientist at the University of Kentucky, and Silicon Valley backers.

The competition offered prizes for extracting text from high-resolution CT scans of a scroll taken at Diamond, the UK’s national synchrotron facility in Oxfordshire.

On Monday, Nat Friedman, a US tech executive and founding sponsor of the challenge, announced that a team of three computer-savvy students, Youssef Nader in Germany, Luke Farritor in the US, and Julian Schilliger in Switzerland, had won the $700,000 (£554,000) grand prize after reading more than 2,000 Greek letters from the scroll.

Papyrologists who have studied the text recovered from the blackened scroll were stunned at the feat.

“This is a complete gamechanger,” said Robert Fowler, emeritus professor of Greek at Bristol University and chair of the Herculaneum Society.

“There are hundreds of these scrolls waiting to be read.”

Dr Federica Nicolardi, a papyrologist at the University of Naples Federico II, added:

“This is the start of a revolution in Herculaneum papyrology and in Greek philosophy in general. It is the only library to come to us from ancient Roman times.”

“We are moving into a new era,” said Seales, who led efforts to read the scrolls by virtually unwrapping the CT images and training AI algorithms to detect the presence of ink.

He now wants to build a portable CT scanner to image scrolls without moving them from their collections.

In October, Farritor won the challenge’s $40,000 “first letters” prize when he identified the ancient Greek word for “purple” in the scroll.

He teamed up with Nader in November, with Schilliger, who developed an algorithm to automatically unwrap CT images, joining them days before the contest deadline on 31 December.

Together, they read more than 2,000 letters of the scroll, giving scholars their first real insight into its contents.

“It’s been an incredibly rewarding journey,” said Youssef.

“The adrenaline rush is what kept us going. It was insane. It meant working 20-something hours a day. I didn’t know when one day ended and the next day started.”

“It probably is Philodemus,” Fowler said of the author.

“The style is very gnarly, typical of him, and the subject is up his alley.”

The scroll discusses sources of pleasure, touching on music and food – capers in particular – and whether the pleasure experienced from a combination of elements owes to the major or minor constituents, the abundant or the scare.

“In the case of food, we do not right away believe things that are scarce to be absolutely more pleasant than those which are abundant,” the author writes.

“I think he’s asking the question: what is the source of pleasure in a mix of things? Is it the dominant element, is it the scarce element, or is it the mix itself?” said Fowler.

The author ends with a parting shot against his philosophical adversaries for having “nothing to say about pleasure, either in general or particular."

Seales and his research team spent years developing algorithms to digitally unwrap the scrolls and detect the presence of ink from the changes it produced in the papyrus fibres.

He released the algorithms for contestants to build on in the challenge.

Friedman’s involvement proved valuable not only for attracting financial donors.

When Seales was meant to fly to the UK to have a scroll scanned, a storm blew in cancelling all commercial flights.

Worried they might lose their slot at the Diamond light source, Friedman hastily organised a private jet for the trip.

Beyond the hundreds of Herculaneum scrolls waiting to be read, many more may be buried at the villa, adding weight to arguments for fresh excavations.

"The same technology could be applied to papyrus wrapped around Egyptian mummies," Fowler said.

These could include everything from letters and property deeds to laundry lists and tax receipts, shining light on the lives of ordinary ancient Egyptians.

“There are crates of this stuff in the back rooms of museums,” Fowler said.

The challenge continues this year with the goal to read 85% of the scroll and lay the foundations for reading all of those already excavated.

Scientists need to fully automate the process of tracing the surface of the papyrus inside each scroll and improve ink detection on the most damaged parts.

“When we launched this less than a year ago, I honestly wasn’t sure it’d work,” said Friedman.

“You know, people say money can’t buy happiness, but they have no imagination. This has been pure joy. It’s magical what happened, it couldn’t have been scripted better."

Source: The Guardian

How the Herculaneum Papyri were carbonised in the Mount Vesuvius eruption – Video

5 February 2024

[ai-innova7ions]

Revolutionize Your Art with Leonardo AI!

Leonardo AI is revolutionizing artistic creation with its advanced algorithms that transform real-world ideas into stunning masterpieces. This dynamic platform empowers us to design imaginative game assets, including characters, artifacts, landscapes, conceptual visuals, and intricate architectures.

By merging cutting-edge technology with our creative fervor, Leonardo AI enables artists and designers to bring their visions to life. It injects depth and vibrancy into our projects, making it perfect for those looking to elevate their creative endeavors. Discover how this AI-driven toolset offers an unparalleled environment for artistic innovation!

#LeonardoAI #ArtisticInnovation

[regenesis01]

Idk who will read this rn as I made this account yesterday because I decided to quit Instagram and move my art here. But I swear that I love the fact that Tumblr doesn't have a stupid ass algorithm that doesn't let most people see your creations, or the fact that hashtags are actually useful here.

For those who don't know, Instagram made a new update were you can't see the recent posts in hashtags unless they're popular (top posts and recent top posts) . So now it's only the algorithm that decides which posts it will let you see. Horrible.

[techaiml]

Embracing the Revolution: Generative AI and Custom Software Development

Generative AI represents a paradigm shift in custom software development, offering unprecedented opportunities for innovation, efficiency, and creativity. By harnessing the power of AI algorithms, developers can accelerate the coding process, explore new design possibilities, and deliver highly customized solutions tailored to individual needs. As we embark on this journey of technological advancement, it's essential to embrace the transformative potential of generative AI while upholding ethical principles and ensuring inclusive and responsible development practices.

[garudabluffs]

Kyle Chayka is a founding editor of Dirt. This essay is drawn from his new book Filterworld: How Algorithms Flattened Culture

Welcome to Filterworld

Kyle Chayka writes, “Our personal desires are constantly being anticipated, served in advance, and perhaps thus undercut.”

"it only matters that you’re still watching and clicking, building a map of your interests that make you more targetable. It’s long past time that we realized these systems are not benefitting culture. Creators and consumers alike are pushed into preset formats that we may ultimately have no organic interest in. By giving in to algorithmic feeds, we are letting tech companies determine our tastes. 

Flatness, like scalability, is efficient. The same culture flows through the same pipes to the same net-average consumer. But since when did efficiency become the sole metric by which we judge art? Filterworld represents the idea that the messiness of culture can be optimized and that only what is optimized for shareability is worthwhile. I disagree."

READ MORE https://dirt.fyi/article/2024/01/welcome-to-filterworld

The tyranny of the algorithm: why every coffee shop looks the same 16 Jan 2024

From the generic hipster cafe to the ‘Instagram wall’, the internet has pushed us towards a kind of global ubiquity – and this phenomenon is only going to intensify

"YouTube, founded in 2005, allowed anyone with a powerful enough internet connection to upload and share video clips. Instagram followed in 2010 and created a larger culture of sharing snapshots from newly mainstream iPhone cameras."

“Globalisation takes place only in capital and data,” the literary theorist Gayatri Chakravorty Spivak has written. “Everything else is damage control.” We talk about politics, culture and travel becoming globalised, but on a more fundamental level, Spivak is correct that what really flows across the planet are various forms of money and information: investments, corporations, infrastructure, server farms and the combined data of all the digital platforms, sluicing invisibly like wind or ocean currents between nations. We users voluntarily pumped our own information through this system, turning ourselves into flowing commodities, too.

This homogenisation is not just a phenomenon of our own moment; it is a consequence of changes that happened long before algorithmic social media feeds, and is just as likely to intensify in the future. After all, each time a grand flattening is announced the world somehow finds a way to get even flatter."

by Kyle Chayka READ MORE https://www.theguardian.com/news/2024/jan/16/the-tyranny-of-the-algorithm-why-every-coffee-shop-looks-the-same

How social media algorithms 'flatten' our culture by making decisions for us

JANUARY 17, 2024

LISTEN 36-Minute Listen READ MORE https://www.npr.org/2024/01/17/1224955473/social-media-algorithm-filterworld

[rootsinthefuture]

"In the temple of technological religion, humanity kneels before the gods of algorithms, offering the data of its being as a digital sacrifice."

Rootsinthefuture

[techdriveplay]

The Impact of AI on Everyday Life: A New Normal

The impact of AI on everyday life has become a focal point for discussions among tech enthusiasts, policymakers, and the general public alike. This transformative force is reshaping the way we live, work, and interact with the world around us, making its influence felt across various domains of our daily existence. Revolutionizing Workplaces One of the most significant arenas where the impact…

[nothingxxtoxxsay]

"Heart of Gold"

The cross she bears is heavy, yet her heart, gleaming in gold, remains unyielding. With each breath she draws, she kindles a fragile ember of hope, daring to defy the relentless march of the encroaching shadows.

[jamesmitchia]

Virtual Tutors and AI: The New Face of Modern Education

Education is changing—and not just because of new textbooks or digital classrooms. Behind the scenes, AI is quietly reshaping how we learn, teach, and interact with knowledge itself.

The days of the one-size-fits-all classroom are behind us. Thanks to AI, learning today is becoming more personal, more accessible, and more effective. It's not about replacing teachers—it's about empowering them, and making education a more human experience, not less.

Here’s how AI is transforming education:

Personalized Learning Paths AI algorithms analyze a student’s strengths, weaknesses, and pace. Based on that, they create tailor-made study plans—giving every learner the chance to shine on their own terms.

Virtual Tutors Stuck on a math problem at midnight? AI-driven tutors like chatbots and apps provide instant support, explanations, and practice, filling gaps when human help isn’t around.

Real-Time Feedback Instead of waiting for end-of-term report cards, AI tools give students immediate feedback—helping them course-correct and learn more efficiently.

Access to Quality Education Everywhere AI-powered platforms break down geographical barriers, offering top-quality education to students in remote areas, or those who otherwise wouldn’t have access.

Smarter Content Creation AI helps teachers by generating quizzes, lesson plans, and customized learning materials—giving educators more time to focus on what they do best: inspire.

Predictive Analytics for Early Intervention AI can spot when a student is struggling early on, allowing teachers and parents to step in with support before it’s too late.

AI isn’t just making education smarter—it’s making it more human by meeting students where they are. If done right, the future of learning looks brighter, fairer, and full of possibilities.

About US: AI Technology Insights (AITin) is the fastest-growing global community of thought leaders, influencers, and researchers specializing in AI, Big Data, Analytics, Robotics, Cloud Computing, and related technologies. Through its platform, AITin offers valuable insights from industry executives and pioneers who share their journeys, expertise, success stories, and strategies for building profitable, forward-thinking businesses.

Contact Us :

Call Us

+1 (520) 350-7212

Email Address​

sales@intentamplify.com

Local Address

1846 E Innovation Park DR Site 100 ORO Valley AZ 85755

[tudip123]

Choose AI/ML Algorithms Very Efficiently

The world is getting smarter every day, to keep up to date and satisfy consumer expectation tech companies adapting machine learning algorithms to make things easy but choosing a machine learning algorithm is always a tedious job for techies, there are lots of algorithms present for different kind of problems and we can use this for tackling things in different ways.

The machine learning algorithm’s main goal is to inspect the data and find similar patterns between them, and with that, make detailed predictions. As the name implies, ML algorithms are basically calculations prepared in different ways.

We are creating data every day; we are just surrounded by data in different formats. It comes from a variety of sources: business data, personal social media activity, sensors in the IoT, etc. Machine learning algorithms are used to extract data and turn it into something useful that can serve to automate processes, personalize experiences, and make difficult forecasts that human brains cannot do on their own.

Choosing algorithms solely depends on your project requirements. Given the type of tasks that ML algorithms answer, each type trains in absolute tasks, taking into consideration the limitations of the knowledge that you have and the necessities of your project.

Types of AI/ML Algorithms

Different types of machine learning algorithms are:

Supervised learning

Unsupervised learning

Semi-Supervised learning

Reinforcement learning

Supervised ML algorithm:

This is the most popular ML algorithm because of its flexibility and comprehensiveness, and it is mostly used to do the most common ML tasks. It requires labeled data.

Supervised knowledge depends on supervision; we train the machines utilizing the branded dataset and establish the training; bureaucracy thinks about the output. It allows you to collect data from previous experiences. Helps you improve performance tests using occurrence.

Unsupervised ML algorithm:

Unsupervised learning is typically achieved by using unsupervised machine learning techniques. Using unsupervised algorithms, you can handle problems differently than with supervised algorithms and operate in more complicated ways. Unsupervised learning, however, could be more irregular than the subsequent deep learning and support learning patterns based on natural input.

There are three main tasks in Unsupervised learning, such as:

Clustering: It is a data mining technique used for grouping unlabeled data based on similarities between them.

Association: It uses different rules to find relationships between variables in a given dataset. These plans are frequently secondhand for advertising basket studies and recommendation transformers.

Dimensionality Reduction: It is used when the number of features in a dataset is too high. It reduces the number of data inputs to a controllable size while more maintaining the dossier honor. Often, this technique is secondhand in the preprocessing dossier stage, in the way that when autoencoders erase noise from being able to be seen with eyes dossier to boost picture quality.

Semi-Supervised ML algorithm:

When you are using a training dataset with both labeled and unlabeled data or you can’t decide on whether to use supervised or unsupervised algorithms, Semi-Supervised is the best choice in that case.

Reinforcement ML algorithm:

Reinforcement knowledge algorithms are mostly based on dynamic compute methods. The idea behind this type of ML treasure is to compare investigation and exploitation. Other machine learning algorithms used mapping middle from two points of recommendation and productivity, Unlike directed supervised placement, where the feedback supported by the power is correct set of conduct for performing a task, support education uses rewards and penalties as signals for helpful and negative behavior.

Conclusion

Choosing an ML algorithm is apparently a complex task, particularly if you don’t have a far-reaching background in this field. However, knowledge about the types of algorithms and the tasks that they were created to resolve and solving a set of questions might help you resolve this complication. Learning more about machine learning algorithms, their types, and answering these questions might lead you to an algorithm that’ll be a perfect match for your goal.

Click the link below to learn more about the blog Choose AI/ML Algorithms Very Efficiently:

[msn-technology]

Top 9 AI Tools for Data Analytics in 2025

In 2025, the landscape of data analytics is rapidly evolving, thanks to the integration of artificial intelligence (AI). AI-powered tools are transforming how businesses analyze data, uncover insights, and make data-driven decisions. Here are the top nine AI tools for data analytics that are making a significant impact: 1. ChatGPT by OpenAI ChatGPT is a powerful AI language model developed by…

[takechargemedical]

The Rise of Generative AI in Medical Devices: Revolutionizing Healthcare Solutions

Generative AI is paving the way for groundbreaking advancements in the medical device industry. From accelerating design to enhancing patient outcomes, this transformative technology is reshaping the landscape of healthcare innovation. Here’s how generative AI is driving the future of medical device development:

1. Enhanced Device Design and Prototyping

Generative AI accelerates the ideation process, creating optimized device designs tailored to specific clinical needs. By analyzing vast datasets, AI identifies optimal configurations, reducing development time and costs so as to incorporate robust Gen-AI Driven Device Providers. 

2. Streamlined Manufacturing

AI-driven tools ensure precision in manufacturing, minimizing material waste and enhancing production efficiency. Generative models also predict potential flaws, ensuring robust device quality.

3. Improved Clinical Trial Outcomes

Medical devices integrated with AI capabilities support real-time patient monitoring, enabling adaptive clinical trials. Generative AI enhances patient recruitment and retention through predictive analytics, improving trial efficiency.

4. Personalized Patient Care

Generative AI enables devices to adapt to individual patient needs, such as adjusting insulin delivery in diabetes management. Personalized care leads to better patient compliance and improved outcomes.

5. Predictive Maintenance

AI algorithms forecast maintenance needs for complex medical equipment, minimizing downtime and ensuring continuous care delivery.

6. Regulatory Compliance Support

Generative AI aids in regulatory submissions by automating documentation and analyzing compliance data, expediting approval processes.

Embracing a Robust AI Future

Generative AI is not just a tool—it’s a transformative force driving innovation and efficiency in the medical device industry. Companies that harness its potential position themselves as leaders in delivering cutting-edge, patient-centric solutions.

Optimizing Healthcare for All For more insights on leveraging generative AI in medical devices, visit TakeChargeMedical.com and discover the future of healthcare innovation.